NEARBY Platform for Detecting Asteroids in Astronomical Images Using Cloud-based Containerized Applications

The continuing monitoring and surveying of the nearby space to detect Near Earth Objects (NEOs) and Near Earth Asteroids (NEAs) are essential because of the threats that this kind of objects impose on the future of our planet. We need more computational resources and advanced algorithms to deal with...

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Bibliographic Details
Published in:arXiv.org 2019-01
Main Authors: Bacu, V, Sabou, A, Stefanut, T, Gorgan, D, Vaduvescu, O
Format: Article
Language:English
Subjects:
Asteroid detection
Asteroids
Celestial bodies
Cloud computing
Digital cameras
Image detection
Near-Earth Objects
Object recognition
Surveying
Online Access:Get full text
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Summary:The continuing monitoring and surveying of the nearby space to detect Near Earth Objects (NEOs) and Near Earth Asteroids (NEAs) are essential because of the threats that this kind of objects impose on the future of our planet. We need more computational resources and advanced algorithms to deal with the exponential growth of the digital cameras' performances and to be able to process (in near real-time) data coming from large surveys. This paper presents a software platform called NEARBY that supports automated detection of moving sources (asteroids) among stars from astronomical images. The detection procedure is based on the classic "blink" detection and, after that, the system supports visual analysis techniques to validate the moving sources, assisted by static and dynamical presentations.
ISSN:2331-8422
DOI:10.48550/arxiv.1901.04248